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Nanomaterials (Basel)


Title:Few-Flakes Reduced Graphene Oxide Sensors for Organic Vapors with a High Signal-to-Noise Ratio
Author(s):Hasan N; Zhang W; Radadia AD;
Address:"Institute for Micromanufacturing, Center for Biomedical Engineering and Rehabilitation Services, Louisiana Tech University, Ruston, LA 71272, USA. azh002@latech.edu. School of Biomedical Engineering, Fourth Military Medical School, Xi'an 710032, China. wenlizhang1121@163.com. Institute for Micromanufacturing, Center for Biomedical Engineering and Rehabilitation Services, Louisiana Tech University, Ruston, LA 71272, USA. radadia@latech.edu"
Journal Title:Nanomaterials (Basel)
Year:2017
Volume:20171021
Issue:10
Page Number: -
DOI: 10.3390/nano7100339
ISSN/ISBN:2079-4991 (Print) 2079-4991 (Electronic) 2079-4991 (Linking)
Abstract:"This paper reports our findings on how to prepare a graphene oxide-based gas sensor for sensing fast pulses of volatile organic compounds with a better signal-to-noise ratio. We use rapid acetone pulses of varying concentrations to test the sensors. First, we compare the effect of graphene oxide deposition method (dielectrophoresis versus solvent evaporation) on the sensor's response. We find that dielectrophoresis yields films with uniform coverage and better sensor response. Second, we examine the effect of chemical reduction. Contrary to prior reports, we find that graphene oxide reduction leads to a reduction in sensor response and current noise, thus keeping the signal-to-noise ratio the same. We found that if we sonicated the sensor in acetone, we created a sensor with a few flakes of reduced graphene oxide. Such sensors provided a higher signal-to-noise ratio that could be correlated to the vapor concentration of acetone with better repeatability. Modeling shows that the sensor's response is due to one-site Langmuir adsorption or an overall single exponent process. Further, the desorption of acetone as deduced from the sensor recovery signal follows a single exponent process. Thus, we show a simple way to improve the signal-to-noise ratio in reduced graphene oxide sensors"
Keywords:graphene gas sensor graphene oxide reduced graphene oxide;
Notes:"PubMed-not-MEDLINEHasan, Nowzesh Zhang, Wenli Radadia, Adarsh D eng P20 GM103424/GM/NIGMS NIH HHS/ Switzerland 2017/10/27 Nanomaterials (Basel). 2017 Oct 21; 7(10):339. doi: 10.3390/nano7100339"

 
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